Sciweavers

67 search results - page 2 / 14
» Limits of Multi-Discounted Markov Decision Processes
Sort
View
AIPS
2008
14 years 12 months ago
Bounded-Parameter Partially Observable Markov Decision Processes
The POMDP is considered as a powerful model for planning under uncertainty. However, it is usually impractical to employ a POMDP with exact parameters to model precisely the real-...
Yaodong Ni, Zhi-Qiang Liu
IJCAI
2007
14 years 11 months ago
A Fast Analytical Algorithm for Solving Markov Decision Processes with Real-Valued Resources
Agents often have to construct plans that obey deadlines or, more generally, resource limits for real-valued resources whose consumption can only be characterized by probability d...
Janusz Marecki, Sven Koenig, Milind Tambe
86
Voted
ICML
2010
IEEE
14 years 10 months ago
Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes
Approximate dynamic programming has been used successfully in a large variety of domains, but it relies on a small set of provided approximation features to calculate solutions re...
Marek Petrik, Gavin Taylor, Ronald Parr, Shlomo Zi...
111
Voted
AIPS
2004
14 years 11 months ago
Optimal Resource Allocation and Policy Formulation in Loosely-Coupled Markov Decision Processes
The problem of optimal policy formulation for teams of resource-limited agents in stochastic environments is composed of two strongly-coupled subproblems: a resource allocation pr...
Dmitri A. Dolgov, Edmund H. Durfee
86
Voted
ATAL
2008
Springer
14 years 11 months ago
Controlling deliberation in a Markov decision process-based agent
Meta-level control manages the allocation of limited resources to deliberative actions. This paper discusses efforts in adding meta-level control capabilities to a Markov Decision...
George Alexander, Anita Raja, David J. Musliner